重放攻击下网络控制系统的安全控制:一种类似开关的方法

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Xian Du, Feiyue Wu, Jie Lian
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引用次数: 0

摘要

本文的重点是重放攻击下网络控制系统(NCS)的安全控制设计。缓解重放攻击是一项具有挑战性的任务,因为重放信号与真实观测数据之间的统计相似性使它们难以区分。考虑到潜在攻击者的持久性和单个攻击失败的概率,本文引入了一种基于交换的新型重放攻击模型。通过采用这种重放攻击模型,易受重放攻击的 NCS 可以转化为一类类交换系统。在平均停留时间切换策略和多重李亚普诺夫稳定性理论的框架内,提出了底层系统均方指数稳定性的充分条件。与使用基于延迟的重放攻击模型的现有控制方案相比,所提出的安全控制方法能有效降低重放攻击对控制性能的影响。通过对两个实际系统进行仿真实验,验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure Control of Networked Control Systems Under Replay Attacks: A Switching-Like Approach

This paper focuses on the secure control design of networked control systems (NCSs) under replay attacks. Mitigating replay attacks is a challenging task since the statistical similarity between replayed signals and real observations makes them difficult to distinguish. Given the persistence of potential attackers and the probability of individual attack failures, a novel switching-based replay attack model is introduced. By employing this replay attack model, NCSs vulnerable to replay attacks can be transformed into a class of switching-like systems. Within the framework of the average dwell time switching strategy and multiple Lyapunov stability theory, sufficient conditions for the mean-square exponential stability of the underlying system are presented. Compared with the existing control schemes using the delay-based replay attack model, the proposed secure control method effectively reduces the impact of replay attacks on the control performance. The effectiveness of the proposed approach is validated through simulation experiments carried out on two practical systems.

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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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